Enable multi-AI collaboration to streamline novel writing with slash commands for planning, drafting, reviewing, and managing story workflows in Claude Code.

These scripts were used to process the experimental data, create a data frame and perform machine learning. Three ML models were used: polynomial regression as the baseline model, ridge regression and random forest.

Solver for hybrid devices composed of quantum dots and superconducting islands

Simulate the magnetic response of 2D superconductors

Independent consultant portfolio: biotech/pharma clinical ops leader with open-source CDR, AI water conservation, LENR-YBCO, and biotech/edtech prototypes.

Prediction of critical temperature of superconductor

# Polymer Fusion Framework

Grobid module for superconductor material and properties extraction

Spectral Solver for the Ginzburg-Landau equation

Tools designed to extract Resonant Frequency & Coupling Quality Factor for Microwave Kinetic Inductance Detector Simulations using a Sonnet .csv data file.

Associated repository for the "Room-Temperature Superconductors: A Revolution in Energy & Technology!" 15 minute discourse podcast on YouTube!

Material parsers and other tools, scripts Initially developed for Grobid Superconductor

Backup repo for ongoing RnD stuff in quantum transport and related topics in CMP, under the aegis of the CNQT group, IIT Bombay.

Original code for the "Effect of interatomic repulsion on Majorana zero modes in a coupled quantum-dot--superconducting-nanowire hybrid system", Phys. Rev. B paper.

Repository for the publication "Leveraging composition-based energy material descriptors for machine learning models"

Implementation of Diffusion Models for Conditional Generation of Hypothetical New Families of Superconductors

Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors

The critical temperature of a superconductor is predicted using XGBoost algorithm.

Tools for general Tight Binding systems